Polarization SAR image compression method based on multi-direction dictionary learning

A dictionary learning and image compression technology, applied in the field of image processing, can solve the problems of not effectively retaining image edge information and contour information, and reducing the quality of reconstructed images, so as to overcome the image edge information and contour information, improve quality, and improve the quality of images. The effect of compression

Inactive Publication Date: 2015-02-18
XIDIAN UNIV
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Although this method takes into account and effectively removes the redundancy between polarization channels, when the compression rate is constant, the SPIHT

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  • Polarization SAR image compression method based on multi-direction dictionary learning
  • Polarization SAR image compression method based on multi-direction dictionary learning
  • Polarization SAR image compression method based on multi-direction dictionary learning

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[0018] The present invention will be further described below in conjunction with the accompanying drawings.

[0019] Refer to attached figure 1 , the implementation steps of the present invention are as follows:

[0020] Step 1: Input image.

[0021] Input an optional set of polarimetric SAR four-channel images to be compressed. The polariSAR four-channel image to be compressed used in the example of the present invention is as follows figure 2 as shown, figure 2 It is a group of polarimetric SAR images (NASA / JPL, 1988) of the San Francisco area in the United States, which is denoted as San Francisco in the present invention. in, figure 2 (a) is the HH channel image, figure 2 (b) is the HV channel image, figure 2 (c) is the VH channel image, figure 2 (d) is a VV channel image, the size of each image is 512*512, the image bit depth is 8 bits, and the format is BMP.

[0022] Step 2: Perform asymmetric three-dimensional discrete wavelet transform on the input polar...

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Abstract

The invention discloses a polarization SAR image compression method based on multi-direction dictionary learning. The method mainly solves the problem that the quality of an image compressed and reconstructed through the existing technology is low. The method includes the implementation steps of firstly, inputting a set of polarization SAR four-channel images, and conducting asymmetrical three-dimensional wavelet transform; secondly, conducting sparse representation on coefficient matrixes, in different directions, of high-frequency sub-bands under different scales of all the channels after the discrete wavelet transform is conducted so as to obtain all sparse matrixes; thirdly, conducting quantizing and coding on the coefficient matrixes of all low-frequency sub-bands after the discrete wavelet transform is conducted to obtain low-frequency code streams; fourthly, conducting unified quantizing and coding on the sparse matrixes in different scales and different directions so as to obtain high-frequency code streams; fifthly, forming final code streams through the low-frequency code streams and the high-frequency code streams. By means of the method, redundancy between the channels can be effectively eliminated, the marginal information and contour information of images are better preserved, the quality of a compressed and reconstructed image is improved, and the method can be used for transmitting and storing polarization SAR images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a polarimetric synthetic aperture radar (SAR) image compression method, which can be used for transmission and storage of polarimetric SAR images. Background technique [0002] Synthetic Aperture Radar (SAR), as a high-resolution microwave remote sensing tool, has all-weather and all-time imaging characteristics, contains a large number of signal features, and is widely used in remote sensing fields, such as military reconnaissance, terrain mapping, and target recognition. Polarization synthetic aperture radar (SAR) provides more information than traditional synthetic aperture radar, and greatly enhances the ability to process information. But the corresponding amount of data will increase exponentially. Since large-capacity data needs to be transmitted and stored in real time, data compression is particularly necessary. [0003] The traditional polarimetric SAR ...

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Application Information

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IPC IPC(8): G06T9/00
Inventor 白静焦李成魏瑶刘斌王爽马晶晶马文萍杨淑媛
Owner XIDIAN UNIV
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